DMCA
Combining Multiclass Maximum Entropy Text Classifiers with Neural Network Voting (2002)
by
Philipp Koehn
| Citations: | 5 - 0 self |
BibTeX
@MISC{Koehn02combiningmulticlass,
author = {Philipp Koehn},
title = {Combining Multiclass Maximum Entropy Text Classifiers with Neural Network Voting},
year = {2002}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
We improve a high-accuracy maximum entropy classi er by combining an ensemble of classi ers with neural network voting. In our experiments we demonstrate signi cantly superior performance both over a single classi er as well as over the use of the traditional weightedsum voting approach. Speci cally, we apply this to a maximum entropy classi er on a large scale multi-class text categorization task: the online job directory Flipdog with over half a million jobs in 65 categories.
